דרושים » הנדסה » Senior DevOps Engineer

We are seeking a highly skilled and motivated Senior Backend Developer with deep expertise in Python to join our dynamic team. You will play a pivotal role in designing and implementing our next-generation Automation Framework, which will transform how we build and manage automated testing infrastructures at scale.
As a senior contributor, you will be responsible for defining architecture, guiding technical design decisions, and delivering high-quality backend services that are robust, scalable, and maintainable.
Key Responsibilities:
Architect and develop a modular and scalable Resource Manager to allocate and monitor test infrastructure resources dynamically.
Design and implement a Workflow Application to orchestrate automated test creation, scheduling, and execution pipelines.
Build the backend infrastructure to support the automation ecosystem, including job scheduling, task orchestration, status tracking, and result aggregation.
Collaborate with QA teams, and DevOps to create seamless end-to-end solutions.
Lead and mentor junior developers by providing technical guidance and code reviews.
Take ownership of the entire development lifecycle from concept and design to testing, deployment, and maintenance.
Ensure high performance and responsiveness of services, especially under load.
Write clean, maintainable, and well-documented code aligned with best practices.

We have been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. Its an outstanding legacy of innovation thats motivated by extraordinary technology and amazing people. We are looking for a highly motivated DevOps/SRE engineer to join the AIR team the Digital Twin for Data Center Simulation web application. Our Air enables cloud-scale efficiency by creating identical replicas of real-world data center infrastructure deployments.

What you'll be doing: 

The person will be part of the AIR team that is building the SaaS/IaaS platform for digital twin of AI data centers.

The responsibility specifically is for DevOps, infrastructure and Site Reliability Engineering (SRE) requirements for AIR.

Focus on efficiency by automating repetitive workflows.

Working on microservices based architecture.

Deploying and troubleshooting non-disruptive cloud operations with an emphasis on secure production infrastructure.

Continuous evaluation of existing system and driving improvements.

Managing deployment/upgrade for Operating Systems, Kubernetes(k8s) clusters and/or or other orchestration tools.

Day to day support for engineering activities with CI/CD tools like git, Jenkins.

Efficiently multi-tasking on the different tracks to efficiently address evolving priorities .

We are seeking a motivated and hands-on IT Software Engineer with 25 years of proven experience in AI development. As part of our IT development team, you will design, build, and deploy AI-powered applications and solutions that drive innovation and improve business productivity. You will work closely with software engineers, business analysts, and business stakeholders to implement AI models, agents, and copilots using modern tools and platforms.
This is a great opportunity for someone passionate about AI, who enjoys building practical solutions and growing their expertise in enterprise-scale environments.
How will you make an impact?
Be an active member of the IT development team, contributing to design, coding, and deployment of AI-driven solutions.
Develop and implement AI agents, copilots, and automation workflows using tools such as Microsoft Copilot Studio, Azure OpenAI, Azure AI Foundry, and Python.
Integrate AI models and components into existing applications, systems, and business processes.
Write clean, maintainable, and efficient code for AI-driven features and applications.
Apply prompt engineering techniques to optimize large language model (LLM) performance.
Collaborate with cross-functional teams (data engineering, product, business) to translate requirements into working AI solutions.
Participate in code reviews, testing, debugging, and deployment of AI applications.
Stay up to date with emerging AI technologies and contribute ideas for their adoption.
Support the monitoring and maintenance of AI models in production, including performance tuning and troubleshooting.

As a team member you will be responsible for development of enterprise grade software for monitoring and managing the world's largest supercomputers and data centers, built on our GPU and networking hardware. This role offers you an excellent opportunity to deliver production grade solutions, get hands on with ground-breaking technology, and work closely with technical leaders solving some of the biggest challenges in managing large scale networking and computing infrastructure.

What you'll be doing:

The team develops infrastructure for monitoring and gathering telemetry from production environments, running on the worlds largest supercomputers and datacenters.

The work environment is dynamic and challenging; we are innovating and inventing software products at the forefront of technology in terms of performance, scalability, and features.

Our team works closely with other engineering teams to co-design new features and software APIs.

We are seeking an exceptional Senior K8s Software Engineer to help design and build our next-generation cloud platforms. Were looking for a deeply technical, hands-on engineer with a broad systems perspective and a passion for scalable cloud infrastructure powered by ConnectX, BlueField NICs, and GPUs. Youll join a dynamic team developing high-performance computing infrastructure used in some of the worlds largest supercomputers and data centers. This is a fast-paced, collaborative environment where youll work on innovative, next-gen products at the forefront of performance, scalability, and functionality.

What youll be doing:

Design and develop scalable, cloud-native solutions to accelerate HPC and AI workloads using our advanced technologies (GPUs, DPUs, ConnectX).

Contribute to our AI supercomputing platforms

Collaborate with cross-functional teams to deliver new features and improve existing products.

Support, maintain, and document robust software systems.

We are looking for a Senior Software Development Engineer to contribute to cutting-edge Network Management System of the most powerful super-computers in the world. Our team is growing, and we are looking for hardworking and self-motivated engineers to develop and verify advanced, high-scale SDN management solutions. You will be part of a dynamic team, working with amazing people.

What Youll Be Doing:

You will have a significant impact in developing the next-generation Unified Fabric Manager (UFM) product.

Help drive the underlying technology stack and implementation methodology, ensuring it competes at a world-class level.

Collaborate closely with other SW R&D teams and SW Architects to successfully implement ambitious projects.

Engage in performance tuning and automation to build a flawless operational environment.

Design and implement micro-services architecture to support our advanced, high-scale SDN management solutions.

Work in an agile environment, ensuring continuous improvement and innovation.

we are looking for a highly motivated Java Software Engineer to join our Cloud Analytics team! You will be taking part in developing a complex AWS-based architecture for large Organizations. The applications we develop are part of our company's offering, our cloud solutions suite which is deployed in multiple regions across the world and serves hundreds of customers.
How will you make an impact?
Develop the optimal microservice architecture using AWS technology.
Design and implement microservices in a Java Spring Boot environment.
Enhance product features through active participation in development.
Analyze feature requirements and create comprehensive design documents.
Review design documents with relevant stakeholders to ensure alignment.
Collaborate with the group to refine and iterate on feature designs.
Implement agile development methodologies to deliver high-quality features efficiently.

We are looking for an excellent DevOps Engineer to join the Switch and Firmware DevOps team and make a wide impact on the company products and teams worldwide. The role includes the development of cutting-edge design automation tools, build systems, private cloud and continuous integration systems. With your help, our supportive and friendly team will be able to focus on more exciting programming tasks, better serving the needs of our customers through new and improved CI processes. We work in a dynamic environment where multiple projects will be active at once and priorities may shift frequently. We are looking for hardworking engineers who arent afraid of taking up new technologies, processes, and tools to make constant improvement in the automation infrastructure. The engineer will collaborate closely with our software developers as well as performance analysts to build and improve the world-class automation infrastructure.

What youll be doing:
Design, develop and support CI processes of various products.
Collaborate with various teams across the globe to promote and improve CI practices.
Build infrastructure for effective, high quality, reliable development and release processes.
Be a part of an experienced team with a great atmosphere.

We are expanding our R&D capabilities and looking for a Python Software Engineer to join the SURVEIL-X Platform team.
This is an exciting opportunity for a developer with a few years of experience who is eager to deepen their expertise in cloud technologies, AI, and data platforms while working on a large-scale, mission-critical system.
What youll do
Design, develop, and maintain Python-based services within a distributed, data-driven platform
Build and maintain CI/CD pipelines and containerized environments using Jenkins, Docker, Kubernetes, and Helm
Develop and manage infrastructure-as-code with Terraform in AWS (S3, EC2, API Gateway, RDS, EKS, etc.)
Implement and integrate AI-based solutions, including RAG, Vector Databases, Embeddings, LLMs, and MCP
Develop automation scripts and internal tools to support deployment and monitoring
Integrate and support Kafka and other data streaming technologies
Collaborate in an Agile/Scrum environment, participating in code reviews and cross-team design discussions
Investigate and resolve complex technical issues across application and infrastructure layers.